Paper Info
Title
Optimization And Hole Interpolation Of 2-D Sparse Arrays For Accurate Direction-Of-Arrival Estimation
Abstract
This paper presents a method to optimize 2-D sparse array configurations along with a technique to interpolate holes to accurately estimate the direction of arrival (DOA). Conventional 2-D sparse arrays are often defined using a closed-form representation and have the property that they can create hole-free difference co-arrays that can estimate DOAs of incident signals that outnumber the physical elements. However, this property restricts the array configuration to a limited structure and results in a significant mutual coupling effect between consecutive sensors. In this paper, we introduce an optimization-based method for designing 2-D sparse arrays that enhances flexibility of array configuration as well as DOA estimation accuracy. We also propose a method to interpolate holes in 2-D co-arrays by nuclear norm minimization (NNM) that permits holes and to extend array aperture to further enhance DOA estimation accuracy. The performance of the proposed optimum arrays is evaluated through numerical examples.
Year
DOI
Venue
2021
10.1587/transcom.2020EBP3035
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
DocType
Volume
direction of arrival estimation, array signal processing, sparse array, mutual coupling, nuclear norm minimization
Journal
E104B
Issue
ISSN
Citations 
4
0916-8516
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
S. Nakamura196.11
Sho Iwazaki201.35
Koichi Ichige34915.46